Transaction Automation via Safe{Wallet}

Suppose your DeFi protocol uses a Safe multisig for treasury management. Each routine transaction—rebalancing, grant payment, or revenue collection—requires 3 out of 5 signatures. This slows down operations and increases gas costs. Our team solves this problem: we automate routine transactions using Safe Modules, Gelato, and Chainlink Automation. With 5+ years of experience and over 50 projects, including complex integrations, we have achieved time savings of up to 80%.

Two Automation Mechanisms

Safe Modules are smart contracts that Safe delegates to execute transactions without owner signatures. A module is enabled via enableModule(address), which requires multisig voting. Once enabled, the module calls execTransactionFromModule directly. This is powerful but risky. A compromised module grants full access to funds. Proper architecture includes a whitelist of allowed actions, a timelock, and the ability to disable the module.

The Zodiac Module Framework from Gnosis provides ready-made modules: RolesModule (role-based system with granular permissions), DelayModule (timelock), and ExitModule. For custom automation, RolesModule is the right choice: assign a "Keeper" role with permission to call specific functions on specific contracts with limits.

Safe Transaction Service + Relay is an alternative: a backend service forms the transaction, collects signatures via API, and when the threshold is reached, the relay sends it on-chain. It is more secure because the multisig is preserved, but it requires owner signatures. Suitable for semi-automated processes.

How to Integrate Gelato and Chainlink Automation?

For fully automated scheduled transactions, a Safe Module with a Keeper network is used. Gelato Safe Module is a ready-made module that allows setting up automatic transactions on a schedule or based on an on-chain condition. Gelato pays gas from 1Balance, so Safe does not spend ETH.

Chainlink Automation plus custom Module: The Chainlink Keeper calls a function on the module, checks the condition, and initiates a transaction via execTransactionFromModule. This is more flexible but requires module development.

Developing a Custom Automation Module

contract AutomationModule is Module {
    ISafe public safe;
    
    function executeScheduled(bytes calldata data) external onlyKeeper {
        require(block.timestamp >= nextExecution, "Too early");
        require(safe.execTransactionFromModule(
            target, value, data, Enum.Operation.Call
        ), "Module transaction failed");
        nextExecution = block.timestamp + interval;
    }
}

Important details: onlyKeeper checks the caller; Enum.Operation.Call vs DelegateCall — for automation use Call, as DelegateCall is dangerous.

How to Guarantee Secure Automated Multisig?

Security is built on three levels:

1. Module audit — formal verification using Slither, Mythril, fuzzing with Echidna. Check for reentrancy and overflow.
2. Permission restrictions — RolesModule sets precise limits: maximum amount, frequency, list of contracts. Even if the Keeper is compromised, damage is limited.
3. Monitoring — via Tenderly, set up alerts for module invocations. Anomalies trigger immediate notifications to owners.

Comparison of Approaches

Typical Automation Use Cases

Automatic DeFi rebalancing. The Safe holds liquidity in multiple protocols. Once a week, the Keeper checks allocation and triggers a rebalancing transaction. One client (a DAO with $2M TVL) reduced manual operations by 80%.

Grant payments per DAO schedule. The DAO approved a 10 ETH grant paid out 1 ETH per month. The module stores parameters, and the Keeper executes monthly.

Sweep from hot wallet to Safe. The hot wallet accumulates funds; the Keeper transfers to Safe when a threshold is reached.

Comparing approaches by efficiency: a custom Module with Gelato pays for itself in 3 months at a frequency of 10+ transactions per week — twice as fast as the semi-automated method.

What the Work Includes

• Analysis of Safe structure and automation goals
• Architecture design (Module or Relay)
• Development or customization of the module
• Integration with Gelato/Chainlink (configuring Keeper tasks)
• Testing on testnet with scenario simulation
• Deployment and verification of contracts on Etherscan
• Documentation and team training
• 30-day warranty support after launch

Contact us for a consultation—we will choose the optimal solution. Order development of automation—your Safe will work faster and without errors. As indicated in the official Safe documentation: > Modules allow executing transactions on behalf of Safe without owner signatures, significantly speeding up routine processes.

With integrations like the Zodiac Module Framework and Gelato, you get a proven solution with minimal risk.

Smart Contract Development

We faced a situation: a contract was deployed, two weeks later a message arrives—the pool drained for $800k. Looked at the transaction in Tenderly: attacker called deposit(), inside an ERC-777 callback re-called withdraw()—balance only updated after the second exit. Classic reentrancy, but not via ETH transfer—through an ERC-777 hook. ReentrancyGuard was only on withdraw().

Such cases are not rare. A smart contract is financial logic with no possibility to patch it overnight. Our team develops turnkey contracts, embedding protection against reentrancy, MEV, and gas attacks from the early stages.

How We Develop Smart Contracts Turnkey

We start with business logic audit and stack selection. Solidity 0.8.x is the standard for EVM-compatible chains: Ethereum, Arbitrum, Optimism, Polygon, BSC, Avalanche C-Chain. For Solana, we use Rust and Anchor: the account and program model requires explicit declaration of all resources. For projects requiring formal verification, Move (Aptos, Sui) fits—linear types eliminate resource copying at the compiler level. Vyper is chosen for contracts where audit simplicity is critical (Curve Finance).

Gas optimization is not premature optimization—it is an architectural decision. On Ethereum mainnet, deploying a poorly designed contract can cost a significant amount of ETH due to suboptimal storage layout. Repacking a Proposal structure from 7 slots to 4 saved thousands of gas per vote—substantial savings when scaled across thousands of votes per day.

Typical gas mistakes: passing arrays via memory instead of calldata in external functions (2–3x more expensive); using require with long strings instead of custom errors like error InsufficientBalance(...). Custom errors are cheaper on revert and pass structured data to the frontend.

Why Smart Contract Audit Is Critical for Security

Audit is not a one-time check—it is a built-in development stage. We use three levels:

1. Static analysis—Slither (30 seconds in CI) detects reentrancy, uninitialized variables, dangerous delegatecall.
2. Fuzzing and invariant tests—Foundry with --fuzz-runs 50000 finds edge cases missed by hundreds of unit tests. Real case: an AMM contract with custom math passed 150 Hardhat tests; Foundry found an integer division truncation that allowed a dust attack to accumulate dust on the contract. Echidna checks invariants ("sum of all balances ≤ totalSupply").
3. Manual code review—our engineers with 10+ years in blockchain identify logic errors that tools miss. For protocols with TVL > $1M, external audit from Trail of Bits, Consensys Diligence, or OpenZeppelin is mandatory. Timeline: 2–4 weeks.

Any upgradeable protocol must have a timelock. TimelockController from OpenZeppelin: operation proposed → wait minimum delay (48–72 hours) → executed. Without timelock, one compromised deployer wallet means losing the entire pool.

What Upgrade Patterns Do We Choose?

Storage collision is the main danger of proxies. Implementation v2 must not add variables before existing ones. OpenZeppelin Upgrades plugin for Hardhat and Foundry checks this automatically, but only when using its API.

How to Protect a Contract from MEV and Front-Running

On Ethereum mainnet, transactions in the mempool are visible to all. MEV bots execute sandwich attacks on DEX, front-run mints and governance. Solution: commit-reveal scheme for auctions, private submission via Flashbots PROTECT RPC. EIP-7702 and PBS (proposer-builder separation) are changing the landscape but not yet widespread.

What Is the Development Process?

1. Analysis—functional specification, call diagram, edge case analysis. Without this, coding starts in vain.
2. Development—Solidity/Rust with tests in parallel. Test → code → refactoring. Use Foundry for fuzz and invariant tests.
3. Internal audit—Slither + Echidna + manual code review. Foundry invariant tests for protocol invariants.
4. External audit—for projects with real money. Timeline: 2–4 weeks.
5. Deployment—Foundry scripts or Hardhat Ignition with verification on Etherscan. Gnosis Safe for ownership transfer immediately after deployment.
6. Monitoring—Tenderly alerts, OpenZeppelin Defender, Forta Network.

What Is Included

• Architecture documentation and contract specification (NatSpec).
• Source code with repository and CI (Slither, Foundry, coverage).
• Deployed contract with verification on blockchain explorer.
• Audit results (internal and external upon request).
• Access to monitoring and management (Gnosis Safe).
• Code warranty: critical bug fixes within one month after deployment.
• Consultation on web integration (wagmi, RainbowKit).

Estimated Timelines

• ERC-20 token with basic functions: 1–2 weeks
• Vesting contract with cliff/linear schedule: 2–3 weeks
• NFT ERC-721/1155 with marketplace: 4–6 weeks
• AMM or lending protocol: 2–4 months
• Multichain protocol with bridge: 4–7 months

Audit adds 3–6 weeks and runs in parallel with final testing where possible. Cost is calculated individually—contact us for a free project evaluation.

Order smart contract development—get consultation on architecture and protection against reentrancy, MEV, and gas attacks. Want to discuss details? Write to us—we will select the optimal stack for your task.